• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.129-142
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• 2010

The ubiquitous healthcare environment is one of the systems that benefit from wireless sensor network. But one of the challenges with wireless sensor network is its high loss rates when transmitting data. Data from the biosensors may not reach the base stations which can result in missing values. This paper proposes the Health Monitor Agent (HMA) to gather data from the base stations, predict missing values, classify symptom patterns into medical conditions, and take appropriate action in case of emergency. This agent is applied in the Ubiquitous Healthcare Environment and uses data from the biosensors and from the patient’s medical history as symptom patterns to recognize medical conditions. In the event of missing data, the HMA uses a predictive algorithm to fill missing values in the symptom patterns before classification. Simulation results show that the predictive algorithm using the HMA makes classification of the symptom patterns more accurate than other methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.661-674
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• 2021

Edwardsiellosis is difficult to treat in cultured olive flounder, Paralichthys olivaceus. It is present in the fish for a long period during all growth stages, and it often leads to mass mortalites. In this paper, the clinical patterns of Edwardsiellosis were analyzed by dividing the data into the whole-water temperature, low-water temperature, low-high water temperature, high-water temperature, and high-low water temperature groups based on various clinical signs of diseased cultured olive flounder using a decision tree technique. In the clinical sign patterns in the decision trees analyzed in the experiment, clinical signs in the liver, such as liver nodules, liver hemorrhages, and liver degeneration, were selected as the criteria for determining Edwardsiellosis. The selected clinical signs were known as the major clinical signs of Edwardsiellosis, and through consultation with fishery disease experts, the analysis confirmed that the clinical signs of Edwardsiellosis were successfully found in this study.

• The Journal of the Acoustical Society of Korea
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• v.41 no.3
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• pp.367-374
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• 2022

In this paper, correlation analysis between speech characteristics and the dose of antipsychotic drugs was performed. To investigate the pattern of speech characteristics of ExtraPyramidal Symptoms (EPS) related to voice change, a common side effect of antipsychotic drugs, a Korean-based extrapyramidal symptom speech corpus was constructed through the sentence development. Through this, speech patterns of EPS and non-EPS groups were investigated, and in particular, a strong speech feature correlation was shown in the EPS group. In addition, it was confirmed that the type of speech sentence affects the speech feature pattern, and these results suggest the possibility of early detection of antipsychotics-induced EPS based on the speech features.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1336-1339
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• 2009

산업화가 진행된 세계 주요 선진국들은 의학의 발달과 평균 수명의 증가로 고령화의 위기를 겪고 있다. 인구 고령화에 따라 치매 인구도 크게 증가하였다. 치매 인구의 증가는 국가와 가정의 물질적, 인적 비용을 증가시키고 있다. 이와 같은 사회문제를 해결하고 효율적인 치매 환자 관리를 위한 방법이 필요하다. 관찰 대상자가 치매 증상과 비슷하게 행동한다면 치매를 의심해 볼 수 있다. 본 논문에서는 3축 가속도 센서를 사용하여 대상자의 행위 정보를 수집하고 디지털화한다. 디지털화 된 행위정보를 치매 증상의 행동 패턴과 비교하여 관찰 대상자의 행동이 치매 증상인지 정상적인 활동인지 판단할 수 있는 방법을 소개한다.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.71-78
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• 2022

Parkinson's disease (PD) is clinically characterized by a variety of motor and non-motor symptoms, including cognitive and neuropsychiatric symptoms. Integrating a large variety of symptoms into a small number of clinical subtypes could be valuable for appropriate and early therapeutic intervention. As a first step toward this aim, this study attempted to identify correlation patterns among motor, cognitive and neuropsychiatric symptoms in PD without dementia. One hundred four non-demented patients with PD underwent a comprehensive motor, neuropsychological, and neuropsychiatric assessments. Factor analysis was performed to identify correlation patterns among demographic, motor, cognitive and neuropsychiatric variables. The eight factors were extracted: 1 motor-related, 3 cognitive-related and 4 neuropsychiatric factors. We indentified that characteristics of correlation can have associated symptom pattern in the disease process of Parkinson's disease. The current results suggest that a broad range of motor and non-motor symptoms in PD may be reducible to a small number of clinical parameters, which may be useful for identifying clinical subtypes of PD for individual patients.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1273-1281
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• 2014

As a variety of industrial technology advances with various materials developed, cosmetics industry in general is witnessing many kinds of new cosmetic products. At the same time, Cosmetics Act becomes effective, and cosmetics ingredient labeling is implemented. Concerns with life pattern such as life management, biorhythm, right posture, and stress symptoms are on the increase in order to seek high-quality life as well. These life patterns are closely connected not only with life quality and health but with skin management, and thus this paper conducts a survey on the connection between functional cosmetics awareness and life pattern. Results show that out of 16 questions concerning cosmetics awareness, responses to question number 3, 5, 6 and 11 have relevant differences among colleges. Furthermore, the results of cross analysis with life pattern show that there are relevant differences between the year of responses and stress symptoms and between the year of responses and right posture. Lastly, it is shown that answers to questions regarding gender and biorhythm, gender and right posture, and gender and stress symptoms are relevantly different. Further research is needed to reveal the differences between college students and ordinary people at large.

• The Korean Journal of Applied Statistics
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• v.23 no.1
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• pp.123-138
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• 2010

After selecting a group of women with premenstrual syndrome based on daily distress scores of 28 days, one needs to estimate threshold for the change of symptoms, which would be useful for the clinician's diagnosis in hospitals. However, a test of whether a change has occurred has to precede the estimation of the threshold. In this paper, we apply parametric and nonparametric testing methods to an example data obtained from a group of women. Nonparametric method does not assume any distributional form of distress scores and parametric testing method is based on the normal distributions of linear regression lines. Therefore, the optimal situation of both methods would be different and we will assess it with a simulation study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.93-96
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• 2011

본 논문에서는 개선된 FCM 알고리즘을 적용하여 통계청에서 제공하는 한국 표준 질병 사인 분류표(K.C.D)를 기초로 질병을 분류한 후, 질병을 도출하고 애매한 증상의 차이의 정도를 퍼지 추론기법을 사용하여 정확한 질병 상세를 도출할 수 있는 한방 질병 분류 시스템을 제시한다. 기존의 FCM 알고리즘은 입력 벡터들과 각 군집 중심과의 거리를 이용하여 측정된 유사도에 기초한 목적 함수의 최적화 방식을 사용한다. 하지만 측정된 패턴과 군집 공간상의 패턴들의 분포에 따라 바람직하지 못한 군집화 결과를 보일 수 있다. 따라서 본 논문에서는 군집들의 대칭성 측도에 퍼지 이론을 적용하여 기존의 FCM 알고리즘으로 군집화 한 결과를 재 군집화 하여 군집화의 정확성을 개선시킨 후, 증상의 차이를 구분하기 위해서 애매한 증상의 정도를 퍼지 추론 방법을 적용하여 정확한 질병 상세를 도출할 수 있는 방법을 제시한다. 본 논문에서는 개선된 FCM 알고리즘을 적용하여 질병을 분류한 후, 퍼지 제어 기법으로 질병을 추출함으로써 기존의 한방 자가진단 시스템 보다 정확하게 질병을 도출한 것을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.169-170
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• 2018

With improving living standards, there is a growing interest in health. As the life patterns of modern people are convenient and diversified, relative movement is decreasing. These changes in lifestyle are also affecting our health, and the signs of health anomalies are also manifested in various and complex ways. Therefore, in this study, we need a device to measure abnormal symptoms of varicose veins, and to investigate basic data of varicose veins for development of such device. This will be used as a basic research for future device development.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.3
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• pp.294-299
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• 2017

The aim of this study was to detect the status of epilepticus and seizure based on the initial patterns observed in the first 30 minutes of continuous electroencephalogram (cEEG) monitoring. An cEEG was recorded digitally using electrodes applied according to the International 10~20 System. The EEG data were reviewed from January 2014 to December 2015. The baselines of the EEG patterns were characterized by lateralized periodic discharges, generalized periodic discharges, burst suppression, focal epileptiform, asymmetric background, generalized slowing, and generalized periodic discharges with a triphagic wave. The etiology was classified into five categories. The subjects of this study were 128 patients (age: $56.9{\pm}17.5years$, male:female, 74:54). The mean cEEG monitoring duration was $5.5{\pm}5.1$ (min:max, 1:33) days. The EEG pattern categories included lateralized periodic discharges (N=7), generalized periodic discharges (N=10), burst suppression (N=6), focal epileptiform (N=19), asymmetric background (N=24), generalized slowing (N=51), and generalized periodic discharges with a triphagic wave (N=11). The etiological classifications of the patients with status epilepticus were remote symptomatic (N=4), remote symptomatic with acute precipitant (N=9), acute symptomatic (N=6), progressive encephalopathy (N=2), and febrile seizure (N=1). cEEG monitoring was found to be useful for the diagnosis of non-convulsive epileptic seizures or status epilepticus. The seizure was confirmed by the EEG pattern.